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510(k) Data Aggregation

    K Number
    K993804
    Date Cleared
    2000-02-07

    (90 days)

    Product Code
    Regulation Number
    884.1640
    Reference & Predicate Devices
    N/A
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The KSEA Rigid Culdoscope and Accessories is intended for use by qualified surgeons for viewing the organs within the peritoneal cavity, via a posterior vaginal fornix entry, using CO2 gas insufflation. This Culdoscope is not intended for trausvaginal hydrolaparoscopy (transflotation). This Culdoscope has the following diagnostic indications:

    • Unexplained pelvic pain (acute, chronic)
    • Menstrual abnormalities
    • Infertility and sterility
    • Indefinite pelvic mass
    • Ectopic pregnancy
    • Pelvic endometriosis
    • Polycystic ovaries
    • Pelvic inflammatory disease
    • Pain mapping
    • Congenital anomalies of the pelvic organs
    Device Description

    The KSEA Culdoscope and Accessories are manual reusable surgical devices. The KSEA Culdoscope and Accessories are composed of a Forward-Oblique 300 Telescopes, Culdoscope Sheath and a sharp obturator. The body contact portions of the KSEA Culdoscope and Accessories are composed of surgical grade stainless steel, which is commonly used in medical devices for a wide range of applications and has a long history of biocompatibility for human use.

    AI/ML Overview

    The provided text is a 510(k) Summary for a medical device (KSEA Culdoscope and Accessories). This type of document is a premarket notification to the FDA to demonstrate that a device is substantially equivalent to a legally marketed predicate device.

    Crucially, a 510(k) Summary like this typically does not include detailed studies with acceptance criteria and performance data in the way a clinical trial report or a performance validation study for an AI/software device would. The purpose of a 510(k) is to show equivalence, often based on comparison to existing devices and basic engineering/design specifications, rather than extensive clinical efficacy data.

    Therefore, many of the requested points cannot be answered from the provided text because such information is not part of a standard 510(k) summary for this type of device (a manual, reusable surgical instrument).

    Here's a breakdown of what can be inferred and what cannot:


    1. A table of acceptance criteria and the reported device performance

    • Not Applicable / Not Provided. The document describes a manual surgical instrument. Acceptance criteria for such a device would typically relate to manufacturing specifications (e.g., material compliance, dimensions, finish, sterilization compatibility, durability), rather than performance metrics like sensitivity, specificity, or improvement in diagnostic accuracy that would be relevant for an AI/software device. No specific acceptance criteria or quantitative performance data are presented in this 510(k) summary. The summary focuses on comparing its features and intended use to predicate devices to establish substantial equivalence.

    2. Sample sized used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

    • Not Applicable / Not Provided. This 510(k) does not describe a "test set" in the context of performance validation data for an AI/software device. The submission is for a physical medical instrument.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

    • Not Applicable / Not Provided. Ground truth establishment is not relevant for this type of device submission.

    4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

    • Not Applicable / Not Provided. Adjudication methods are not relevant for this type of device submission.

    5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

    • Not Applicable / Not Provided. This is a manual surgical instrument, not an AI/software device. Therefore, no MRMC study, AI assistance, or effect size is relevant.

    6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

    • Not Applicable / Not Provided. This is a manual surgical instrument, not an AI/software device.

    7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)

    • Not Applicable / Not Provided. Ground truth is not a concept applied to the approval process for this type of device as presented in this 510(k) summary.

    8. The sample size for the training set

    • Not Applicable / Not Provided. There is no "training set" for a manual surgical instrument in this context.

    9. How the ground truth for the training set was established

    • Not Applicable / Not Provided. Ground truth for a training set is not relevant for this type of device submission.

    Summary based on the Provided Text:

    The provided document is a 510(k) premarket notification for a KSEA Culdoscope and Accessories, a manual, reusable surgical device. The intent of the submission is to demonstrate substantial equivalence to legally marketed predicate devices, not to provide detailed clinical performance data or studies with acceptance criteria as one would find for an AI/software device.

    The "study" referenced in a 510(k) of this nature is primarily the comparison of the device's design, materials, and intended use against a predicate device. The key assertion is that "The minor differences between the Karl Storz Culdoscope and Accessories and the predicate devices raise no new issues of safety and effectiveness, as these differences have no effect on the performance, function or intended use of these devices." This statement is the "proof" within the 510(k) framework that the device "meets" the safety and effectiveness requirements by demonstrating it's as safe and effective as a device already on the market.

    Therefore, many of the questions related to AI/software performance validation are not applicable to this document or the device it describes.

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